Connecting your Career with the Internet of Things: What Does it Take to Thrive in IoT
According to LinkedIn currently, there are more than 4,000 jobs available with IoT skills and? 20% revenue growth is expected in the IOT market this year. The change by segment is 21.3%, resulting in a potential increase of $397.20 billion. The Internet of Things, which involves machine intelligence, monitoring, and connectivity embedded into devices and systems for various applications, with an increased impact on our lives and work in 2023.
The segments that have started to integrate IoT are Smart Finance, Smart Cities, Industrial, Healthcare, Consumer, Automotive and other IoT.? Among these, the Automotive, Industrial, and Smart Finance sectors have experienced significant growth rates.
IoT Technologies Demystified:
5G Connectivity:
5G is one of the top IoT technologies that brought more bandwidth and much-improved download speeds to all devices. These high speeds will enable low device latency, always-on connectivity, and larger coverage to impoverished parts of the world that may be lacking physical wireless connectivity infrastructure. 5G implemented in IoT devices that need uninterrupted connection and heavy data usage are self-driving cars, real-time robotics, disaster recovery equipment and many more.
Machine Learning and Artificial Intelligence:
AIML IoT helps us manage and utilize data. It provides companies with a competitive advantage allowing them to increase analytical and predictive abilities, boost risk management, scale faster, and identify money and time-wasting pitfalls within the company.
AIML IoT solutions will be implemented into self-driving cars that can predict traffic movements from vehicles and pedestrians, smart home devices like thermostats that adjust naturally to user’s preference to the local weather conditions, we might see automated robots that scan and monitor stock in a warehouse or store.
Edge Intelligence.
The amalgamation of IoT and edge AI technologies empowers real-time data processing, analysis, and decision-making at the network’s edge, leading to improved efficiency within IoT systems and the potential to revolutionize various industries to drive innovation in the digital age.
The Edge Intelligence can be utilized for tasks such as image recognition and voice processing, for instance:
Smart Security Cameras:
are equipped with edge AI, and can analyze video footage in real-time by performing facial recognition, object detection and tracking motion.
Smart Home Assistants:
Amazon Echo, Google Home, and Alexa use edge AI for speech recognition tasks involving natural language processing and don't rely on cloud-based computing.
Wearable Devices:
To analyze biometric data, such as heart rate, sleep and other activities in real-time, these wearable devices monitor Pearson's health metrics and provide early warnings for medical conditions.
IoT Industry Outlook:
Agri-tech:
the most popular sector using sensors and other connected devices which will benefit from the digitalization of product operations. IoT sensors are used to check weather conditions, soil moisture, and chemical balances. Agri-tech will be able to make more data-based decisions, minimize downtime, create high-quality products with less effort, and witness improved profits and heightened overall efficiency.
Streamlining Supply Chains:
The transportation sector is the second largest area for IoT applications and benefits from technologies like fleet management for uptime, Strategic route mapping will reduce fuel consumption, driver behaviour tracking, vehicle diagnostics and monitoring will make the optimal time for departures, arrivals, and loading for locations dependent on weather for the safety of drivers and pedestrians.
Smart Cities:
Smart utilities and buildings use sensors to optimize resource usage and ensure safety. Urban planners leverage IoT platforms with sensors to improve city planning, transportation, and public safety. IoT solutions for energy usage optimize energy generation, transfer, and usage in real time.
Tech skills Spotlight:
1. Artificial Intelligence and Machine Learning
AIML helps IoT devices learn from data to perform intelligent tasks like face recognition, sentiment analysis, and recommendation systems.
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2. Node.js Development
Node.js is a popular runtime for building scalable IoT apps. It's great for real-time data processing and has a robust library of modules such as MQTT.js, Johnny-Five, and Cylon.js.
3. Mobile App Development
It involves creating user-friendly and responsive apps to communicate with IoT devices via various protocols. It requires knowledge of Android, iOS, Kotlin, Swift, Java, etc.
4. API Automation and Testing
API testing tools verify functionality, performance, and security. Tools like Postman, SoapUI, Rest-Assured, and JMeter help connect IoT devices and identify bugs.
5. Information Security
IoT data is vulnerable. Information security protects it from cyberattacks, empowering trustworthy IoT solutions.
6. UI/UX Design
UI/UX design is crucial for creating user-centric IoT solutions. It involves understanding user needs and implementing design solutions using tools like HTML, CSS, JavaScript, Bootstrap, and React Native.
7. Cloud Computing
Leveraging cloud services for data storage and processing knowledge of cloud platforms like AWS, Azure, or Google Cloud is valuable.
8. Embedded Systems Programming
Proficiency in microcontrollers and embedded systems is crucial for IoT development. Familiarity with platforms such as Arduino and Raspberry Pi is valuable.
9. Sensors and Actuators
IoT devices use sensors and actuators to detect and control parameters like temperature, humidity, and light.
10. Data Analytics:
Proficiency in data analytics and data processing libraries like Pandas, and NumPy is crucial for extracting insights from IoT data.
Certified Key Credentials:
AWS Certified IoT Developer: Validates expertise in building, securing, and managing IoT solutions using AWS.
Microsoft Certified: Azure IoT Developer Specialty demonstrates expertise in implementing IoT solutions on the Azure platform using Microsoft Azure IoT services.
Cisco Certified Network Associate (CCNA) IoT: Focuses on IoT networking, making it valuable for developers to understand IoT networking.
CompTIA IoT+ Certification: It covers IoT infrastructure, security, and device management.
Certified IoT Developer (IoTD): The IoT Developers Alliance demonstrates proficiency in IoT development.
Read more: Building a Career Path to Computer Vision & Understanding the World Through Artificial Eyes
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